{"product_id":"9780471115915","title":"Aspects of Statistical Inference","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eAspects of Statistical Inference\u003c\/h1\u003e\u003ch3\u003eA. H. Welsh\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eRelevant, concrete, and thorough--the essential data-based text onstatistical inference\u003cbr\u003e \u003cbr\u003e The ability to formulate abstract concepts and draw conclusionsfrom data is fundamental to mastering statistics. Aspects ofStatistical Inference equips advanced undergraduate and graduatestudents with a comprehensive grounding in statistical inference,including nonstandard topics such as robustness, randomization, andfinite population inference.\u003cbr\u003e \u003cbr\u003e A. H. Welsh goes beyond the standard texts and expertly synthesizesbroad, critical theory with concrete data and relevant topics. Thetext follows a historical framework, uses real-data sets andstatistical graphics, and treats multiparameter problems, yet isultimately about the concepts themselves.\u003cbr\u003e \u003cbr\u003e Written with clarity and depth, Aspects of Statistical Inference:\u003cbr\u003e * Provides a theoretical and historical grounding in statisticalinference that considers Bayesian, fiducial, likelihood, andfrequentist approaches\u003cbr\u003e * Illustrates methods with real-data sets on diabetic retinopathy,the pharmacological effects of caffeine, stellar velocity, andindustrial experiments\u003cbr\u003e * Considers multiparameter problems\u003cbr\u003e * Develops large sample approximations and shows how to use them\u003cbr\u003e * Presents the philosophy and application of robustness theory\u003cbr\u003e * Highlights the central role of randomization in statistics\u003cbr\u003e * Uses simple proofs to illuminate foundational concepts\u003cbr\u003e * Contains an appendix of useful facts concerning expansions,matrices, integrals, and distribution theory\u003cbr\u003e \u003cbr\u003e Here is the ultimate data-based text for comparing and presentingthe latest approaches to statistical inference.\u003c\/div\u003e\u003cdiv\u003e A. H. WELSH is a Reader of Statistics at the Australian National University in Canberra, Australia.\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e10 October 1996\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-Interscience\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780471115915\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e480\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e26.96\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44314250051724,"sku":"9780471115915","price":219.56,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780471115915_c5d3f49e-8eaa-415f-be4b-9e8a4905d7e8.jpg?v=1780183255","url":"https:\/\/lateknightbooks.com\/products\/9780471115915","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}